Chen, Jianyu

22 publications

AAAI 2025 AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu

ECML-PKDD 2025 Efficient and Generalized End-to-End Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang, Xiaoyu Chen, Yongqiang Li, Jianyu Chen

ICML 2025 MARGE: Improving Math Reasoning with Guided Exploration Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen

ICML 2025 UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen

ICML 2025 Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen

AAAI 2024 From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin

CoRL 2024 HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen

NeurIPS 2024 Prediction with Action: Visual Policy Learning via Joint Denoising Process Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen

IJCAI 2023 Towards Generalizable Reinforcement Learning for Trade Execution Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao

NeurIPS 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu

ICML 2022 CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo

NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

ICML 2022 Flow-Based Recurrent Belief State Learning for POMDPs Xiaoyu Chen, Yao Mark Mu, Ping Luo, Shengbo Li, Jianyu Chen

L4DC 2022 Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen

L4DC 2022 Learning POMDP Models with Similarity Space Regularization: A Linear Gaussian Case Study Yujie Yang, Jianyu Chen, Shengbo Li

ICML 2022 Reachability Constrained Reinforcement Learning Dongjie Yu, Haitong Ma, Shengbo Li, Jianyu Chen

CoRL 2022 Reinforcement Learning with Demonstrations from Mismatched Task Under Sparse Reward Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

NeurIPSW 2022 SEM2: Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu

CVPR 2022 Scale-Equivalent Distillation for Semi-Supervised Object Detection Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

NeurIPS 2022 Unsupervised Skill Discovery via Recurrent Skill Training Zheyuan Jiang, Jingyue Gao, Jianyu Chen

NeurIPS 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao

WACV 2018 Iterative Cross Learning on Noisy Labels Bodi Yuan, Jianyu Chen, Weidong Zhang, Hung-Shuo Tai, Sara McMains